randomise

Integer; number of permutations to create (default: 5e3)

Matrix of permutations, if you would like to provide your own
(default: <code>NULL</code>)

perms

<code>data.table</code> with outcome variables

Character string of the graph measure of interest

measure

Numeric matrix, if you wish to supply your own design matrix
(default: <code>NULL</code>)

Numeric matrix specifying the contrast(s) of interest; if
only one contrast is desired, you can supply a vector

con.mat

Character string, whether to do a two- or one-sided test
(default: <code>'two.sided'</code>)

alternative

Randomize and fit a model and find the maximum statistic

internal

A set of tools for performing graph theory analysis of brain MRI
data. It works with data from a Freesurfer analysis (cortical thickness,
volumes, local gyrification index, surface area), diffusion tensor
tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from
DPABI). It contains a graphical user interface for graph visualization and
data exploration, along with several functions for generating useful
figures.

randomise: Randomize and fit a model and find the maximum statistic

Description

Usage

Arguments